Two decades after Deep Blue conquered chess and a year after AlphaGo took down go, there are still games that artificial intelligence can’t beat.
AI researchers like games because they offer complex, concrete, and exciting challenges, which can unlock broader applications. Take it from AlphaGo creator Demis Hassabis: Games "are useful as a testbed, a platform for trying to write our algorithmic ideas and testing out how far they scale and how well they do and it’s just a very efficient way of doing that. Ultimately we want to apply this to big real-world problems."
Read the full story here (http://www.businessinsider.com/ai-vs-humans-in-different-games-2016-11)